Hi, and welcome!
R is not so much unfriendly as it is foreign. As you learn the language, you'll discover that it can be richly expressive, and make things easier to do than they might be in other languages.
On the reprex errors: a reprex has to contain a complete R script down to where the error in your console shows up. That means library() and something to use for the data. It doesn't have to be all of your data. If there is a built-in data.set available from the package you are using, or better yet, iris, mtcars or one of the other packages shown by data(), that's fine if it exhibits the same behavior
If you do want to share your data, you can cut-and-paste the output of
dput(my_data)
which will look like
dput(mtcars)
#> structure(list(mpg = c(21, 21, 22.8, 21.4, 18.7, 18.1, 14.3,
#> 24.4, 22.8, 19.2, 17.8, 16.4, 17.3, 15.2, 10.4, 10.4, 14.7, 32.4,
#> 30.4, 33.9, 21.5, 15.5, 15.2, 13.3, 19.2, 27.3, 26, 30.4, 15.8,
#> 19.7, 15, 21.4), cyl = c(6, 6, 4, 6, 8, 6, 8, 4, 4, 6, 6, 8,
#> 8, 8, 8, 8, 8, 4, 4, 4, 4, 8, 8, 8, 8, 4, 4, 4, 8, 6, 8, 4),
#> disp = c(160, 160, 108, 258, 360, 225, 360, 146.7, 140.8,
#> 167.6, 167.6, 275.8, 275.8, 275.8, 472, 460, 440, 78.7, 75.7,
#> 71.1, 120.1, 318, 304, 350, 400, 79, 120.3, 95.1, 351, 145,
#> 301, 121), hp = c(110, 110, 93, 110, 175, 105, 245, 62, 95,
#> 123, 123, 180, 180, 180, 205, 215, 230, 66, 52, 65, 97, 150,
#> 150, 245, 175, 66, 91, 113, 264, 175, 335, 109), drat = c(3.9,
#> 3.9, 3.85, 3.08, 3.15, 2.76, 3.21, 3.69, 3.92, 3.92, 3.92,
#> 3.07, 3.07, 3.07, 2.93, 3, 3.23, 4.08, 4.93, 4.22, 3.7, 2.76,
#> 3.15, 3.73, 3.08, 4.08, 4.43, 3.77, 4.22, 3.62, 3.54, 4.11
#> ), wt = c(2.62, 2.875, 2.32, 3.215, 3.44, 3.46, 3.57, 3.19,
#> 3.15, 3.44, 3.44, 4.07, 3.73, 3.78, 5.25, 5.424, 5.345, 2.2,
#> 1.615, 1.835, 2.465, 3.52, 3.435, 3.84, 3.845, 1.935, 2.14,
#> 1.513, 3.17, 2.77, 3.57, 2.78), qsec = c(16.46, 17.02, 18.61,
#> 19.44, 17.02, 20.22, 15.84, 20, 22.9, 18.3, 18.9, 17.4, 17.6,
#> 18, 17.98, 17.82, 17.42, 19.47, 18.52, 19.9, 20.01, 16.87,
#> 17.3, 15.41, 17.05, 18.9, 16.7, 16.9, 14.5, 15.5, 14.6, 18.6
#> ), vs = c(0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0,
#> 0, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1), am = c(1,
#> 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1,
#> 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1), gear = c(4, 4, 4, 3,
#> 3, 3, 3, 4, 4, 4, 4, 3, 3, 3, 3, 3, 3, 4, 4, 4, 3, 3, 3,
#> 3, 3, 4, 5, 5, 5, 5, 5, 4), carb = c(4, 4, 1, 1, 2, 1, 4,
#> 2, 2, 4, 4, 3, 3, 3, 4, 4, 4, 1, 2, 1, 1, 2, 2, 4, 2, 1,
#> 2, 2, 4, 6, 8, 2)), row.names = c("Mazda RX4", "Mazda RX4 Wag",
#> "Datsun 710", "Hornet 4 Drive", "Hornet Sportabout", "Valiant",
#> "Duster 360", "Merc 240D", "Merc 230", "Merc 280", "Merc 280C",
#> "Merc 450SE", "Merc 450SL", "Merc 450SLC", "Cadillac Fleetwood",
#> "Lincoln Continental", "Chrysler Imperial", "Fiat 128", "Honda Civic",
#> "Toyota Corolla", "Toyota Corona", "Dodge Challenger", "AMC Javelin",
#> "Camaro Z28", "Pontiac Firebird", "Fiat X1-9", "Porsche 914-2",
#> "Lotus Europa", "Ford Pantera L", "Ferrari Dino", "Maserati Bora",
#> "Volvo 142E"), class = "data.frame")
Created on 2020-01-28 by the reprex package (v0.3.0)
Are any of the unmarked datasets, such as bird able to stand in for CCTable if that's where the error comes up? The NaNs error indicates that some calculation that was involved resulted in *Not a Number, so a dput` of your data might be needed.